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Question: Define some use of the SparkSession object?


Answer: It is one of the entry point for your Spark cluster, and once you have hold of SparkSession you can create new DataFrame from existing data, can create accumulators, and broadcast variables on that cluster.

Question: How many SparkSession object, you should create per JVM?


Answer: You can create as many as you want, but it is always preferred that you create only one SparkSession object per JVM. So suppose, you have already created one of the SparkSession object in one JVM, you need to first stop it by calling stop() method on it. As we have mentioned previously, when you start spark shell (REPL) then by default one of the SparkSession object is created and assigned to a variable named spark. So you should not create new SparkSession object in that shell.

Question: Which object represents the primary entry point into the Spark 2.0 System?


Answer: SparkSession is the primary object, you should use Spark 2.0 onwards. Because it has all the capabilities which other specific objects have like SQLContext, HiveContext, and SparkContext. In the REPL, Spark command line utility, it is available as a spark object.

Question: When do you use client and cluster mode to submit your application?


Answer: There are two deployment mode exists for the Spark application
- Client Mode: You should use this mode when your gateway machine is collocated with the worker machine. In this mode driver application is launched as a part of the spark submit process and act as client for the cluster.
- Cluster Mode: This is used when your application is far away from the worker machines, like your own laptop or computer which is not part of the Spark cluster.

Question: Which all are the standard ways are available to pass the functions in Spark framework, using Scala?


Answer: There are mainly two ways, by which functions can be passed.
- Anonymous Functions (Lambda functions): This is a good option, when you have to pass some small functionality, and quite simple. See below example, in which we are splitting data and returning splitted values.

- Static Singleton methods: When you need to do some complex operations on the data, then you should use this. If you know Java, then this (static) methods are associated with the class and not to the object.




Previous   |   Next   |  Audio Book for Spark Interview Questions is available here    | Top 150 Latest Spark Interview Questions | Quickly go through Spark Training Python & Scala




       
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